JP2013186716A5 - - Google Patents
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- JP2013186716A5 JP2013186716A5 JP2012051556A JP2012051556A JP2013186716A5 JP 2013186716 A5 JP2013186716 A5 JP 2013186716A5 JP 2012051556 A JP2012051556 A JP 2012051556A JP 2012051556 A JP2012051556 A JP 2012051556A JP 2013186716 A5 JP2013186716 A5 JP 2013186716A5
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- 238000010248 power generation Methods 0.000 claims description 22
- 230000000875 corresponding Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims 1
- 239000011159 matrix material Substances 0.000 claims 1
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000005755 formation reaction Methods 0.000 description 2
- 239000007787 solid Substances 0.000 description 1
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例えば、発電した発電素子の位置情報を取得し、ユーザの行動の時系列モデルを取得する。時系列モデルの方向分布などの特徴量をベクトルで表現し、対応する確率的状態遷移モデルとして、それらのモデルが認識対象行動を生成する確率を演算部160が演算する。例えば、一般的な行動を確率が高いと表し、異常行動を確率が低いと表現する。認識対象行動を生成する確率が高く、通常の一般的な行動パターンと認識される(例えば、図6の点線1〜点線6で示したパターン)。認識対象行動を生成する確率が低く、異常行動パターンと認識される(例えば、図6の実線7で示したパターン)。 For example, the position information of the generated power generation element is acquired, and the time series model of the user's behavior is acquired. A feature quantity such as a directional distribution of the time series model is expressed by a vector, and a calculation unit 160 calculates a probability that these models generate a recognition target behavior as a corresponding probabilistic state transition model. For example, a general action is expressed as a high probability , and an abnormal action is expressed as a low probability . The probability of generating the recognition target action is high, and it is recognized as a normal general action pattern (for example, the pattern indicated by dotted lines 1 to 6 in FIG. 6). The probability of generating the recognition target behavior is low, and it is recognized as an abnormal behavior pattern (for example, a pattern indicated by a solid line 7 in FIG. 6).
無線の方式による通信としては、例えば、赤外線を用いた通信や、短距離低消費電力型のANT規格による通信、「Z−Wave」規格による通信、「Zigbee」規格による通信、「Bluetooth Low Energy」規格による通信、ネットワーク形成が容易な「Wi Fi」による通信などを利用することができるが、これらに限定されるものではない。 The communication by the wireless method, for example, communication or using an infrared, communication by short-range low-power-consumption ANT standards, communication by "Z-Wave" standard, communication by "Zigbee" standard "Bluetooth Low Energ y “Communication based on the standard”, communication based on “Wi-Fi” that allows easy network formation can be used, but is not limited thereto.
ステップS22において、ユーザに異常がない場合は、発電部301が発電することによって生じる電圧波形の最大レベルが、演算部310によって計測される。電圧波形の最大レベルが閾値より大きいか否かの判断が行われる(ステップS23)。電圧波形の最大レベルが所定の閾値以下である場合は、演算部310のメモリの内容が適宜、更新される(ステップS25)。そして、動きに関する情報等に対するモニタリングがなされる(ステップS20)。 In step S <b> 22, when there is no abnormality in the user, the maximum level of the voltage waveform generated by the power generation unit 301 generating power is measured by the calculation unit 310. It is determined whether or not the maximum level of the voltage waveform is greater than the threshold (step S23). If the maximum level of the voltage waveform is less than or equal to the predetermined threshold value, the contents of the memory of the arithmetic unit 310 as appropriate, is updated (step S25). Then, monitoring of information related to movement is performed (step S20).
通信部507は、車載装置500と外部装置600等との間の通信を行うためのインタフェースである。通信部507によってなされる通信は、例えば、無線を使用して行われる。無線の方式による通信としては、例えば、赤外線を用いた通信や、短距離低消費電力型のANT規格による通信、「Z−Wave」規格による通信、「Zigbee」規格による通信、「Bluetooth Low Energy」規格による通信、ネットワーク形成が容易な「Wi Fi」による通信などを利用することができる。もちろん、これらの規格や方式に基づく通信に限定されるものではない。 The communication unit 507 is an interface for performing communication between the in-vehicle device 500 and the external device 600 or the like. The communication performed by the communication unit 507 is performed using wireless, for example. The communication by the wireless method, for example, communication or using an infrared, communication by short-range low-power-consumption ANT standards, communication by "Z-Wave" standard, communication by "Zigbee" standard "Bluetooth Low Energ y “Communication based on the standard”, communication based on “Wi-Fi” that allows easy network formation, and the like can be used. Of course, it is not limited to communication based on these standards and methods.
なお、例えば、GPSセンサ509により取得された車両Cの位置情報は、制御部505、通信部507およびアンテナ508を介して外部装置600に送信される。車両Cの位置情報は、例えば、周期的(例えば、1分間隔)に外部装置600に送信される。 For example, the position information of the vehicle C acquired by the GPS sensor 509 is transmitted to the external device 600 via the control unit 505 , the communication unit 507, and the antenna 508. The position information of the vehicle C is transmitted to the external device 600, for example, periodically (for example, at intervals of 1 minute).
Claims (16)
前記判別部は、
前記位置情報に応じて、前記異常の有無を判別する請求項3に記載の判別装置。 The power generation information is position information of the power generation element that has generated the power,
The discrimination unit
The determination apparatus according to claim 3, wherein the presence / absence of the abnormality is determined according to the position information.
前記判別部は、
前記発電した前記発電素子の発電量に応じて、前記異常の有無を判別する請求項3に記載の判別装置。 The power generation information is a power generation amount of the power generating element that has generated the power,
The discrimination unit
The determination apparatus according to claim 3, wherein the presence / absence of the abnormality is determined in accordance with a power generation amount of the power generation element that has generated the power.
前記発電情報およびセンサ部からのセンサ情報に応じて、前記異常の有無を判別する請求項1に記載の判別装置。 The discrimination unit
The determination apparatus according to claim 1, wherein the presence or absence of the abnormality is determined according to the power generation information and sensor information from a sensor unit.
前記判別部は、
前記発電量の変化が閾値より大きい場合に、前記異常が有ると判別する請求項1に記載の判別装置。 The power generation information is information indicating a change in power generation amount,
The discrimination unit
The determination device according to claim 1, wherein the abnormality is determined to be present when the change in the power generation amount is greater than a threshold value.
少なくとも、前記異常が有ると判別された場合に、前記位置情報を他の装置に送信する送信部と
を有する請求項10に記載の判別装置。 A position information acquisition unit for acquiring position information of the moving object;
The determination device according to claim 10, further comprising: a transmission unit that transmits the position information to another device when it is determined that the abnormality is present.
前記発電部からの発電情報に応じて、異常の有無を判別する判別部と
を有する判別システム。 A power generation unit that generates power based on energy existing in the surrounding environment;
A discrimination system comprising: a discriminator that discriminates whether there is an abnormality according to the power generation information from the power generator.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2012051556A JP6050008B2 (en) | 2012-03-08 | 2012-03-08 | Discriminating apparatus, discriminating method, and discriminating system |
US13/785,977 US20130234724A1 (en) | 2012-03-08 | 2013-03-05 | Discriminating apparatus, discriminating method and discriminating system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2012051556A JP6050008B2 (en) | 2012-03-08 | 2012-03-08 | Discriminating apparatus, discriminating method, and discriminating system |
Publications (3)
Publication Number | Publication Date |
---|---|
JP2013186716A JP2013186716A (en) | 2013-09-19 |
JP2013186716A5 true JP2013186716A5 (en) | 2015-03-26 |
JP6050008B2 JP6050008B2 (en) | 2016-12-21 |
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JP2012051556A Active JP6050008B2 (en) | 2012-03-08 | 2012-03-08 | Discriminating apparatus, discriminating method, and discriminating system |
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US (1) | US20130234724A1 (en) |
JP (1) | JP6050008B2 (en) |
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JP6743007B2 (en) * | 2014-11-24 | 2020-08-19 | タルケット・ゲーデーエル | Monitoring system with pressure sensor in the floor cover |
WO2016127109A1 (en) | 2015-02-05 | 2016-08-11 | Uber Technologies, Inc. | Programmatically determining location information in connection with a transport service |
JP6535489B2 (en) * | 2015-03-19 | 2019-06-26 | 株式会社Nttドコモ | Information processing apparatus, notification method and program |
JP6475048B2 (en) * | 2015-03-20 | 2019-02-27 | セコム株式会社 | Portable terminal device, portable terminal program, and inspection method |
JP6354663B2 (en) * | 2015-05-29 | 2018-07-11 | 京セラドキュメントソリューションズ株式会社 | Sleep mode control system |
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JP6350550B2 (en) * | 2016-01-08 | 2018-07-04 | 京セラドキュメントソリューションズ株式会社 | Sleep control system |
JP6863768B2 (en) * | 2017-02-20 | 2021-04-21 | 綜合警備保障株式会社 | Security system, management device and security method |
US11331019B2 (en) | 2017-08-07 | 2022-05-17 | The Research Foundation For The State University Of New York | Nanoparticle sensor having a nanofibrous membrane scaffold |
KR101988791B1 (en) * | 2018-02-20 | 2019-06-12 | 경북대학교 산학협력단 | Evacuation guidance device and system |
US10506384B1 (en) * | 2018-12-03 | 2019-12-10 | Cognitive Systems Corp. | Determining a location of motion detected from wireless signals based on prior probability |
US11403543B2 (en) * | 2018-12-03 | 2022-08-02 | Cognitive Systems Corp. | Determining a location of motion detected from wireless signals |
US11700270B2 (en) * | 2019-02-19 | 2023-07-11 | The Aerospace Corporation | Systems and methods for detecting a communication anomaly |
CN110927483B (en) * | 2019-11-08 | 2021-10-08 | 杭州电子科技大学 | Power generation floor tile test experiment table and test method thereof |
CN116490891A (en) * | 2020-10-15 | 2023-07-25 | 大正天空大厦有限公司 | Information processing device and building monitoring system provided with same |
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JP5351211B2 (en) * | 2011-06-14 | 2013-11-27 | 三菱電機株式会社 | Intrusion detection system and intrusion detection device |
-
2012
- 2012-03-08 JP JP2012051556A patent/JP6050008B2/en active Active
-
2013
- 2013-03-05 US US13/785,977 patent/US20130234724A1/en not_active Abandoned
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